Jingfei Chang

Orcid: 0000-0003-0530-6511

According to our database¹, Jingfei Chang authored at least 23 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Efficient multi-objective neural architecture search framework via policy gradient algorithm.

[BibT_eX]

[DOI]

Inf. Sci., 2024

BAP: Bilateral asymptotic pruning for optimizing CNNs on image tasks.

[BibT_eX]

[DOI]

Inf. Sci., 2024

CLIP Multi-modal Hashing for Multimedia Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Prompt Multi-task Network for Abuse Language Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Prompt Multi-task Network for Abuse Language Detection.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Enhancing BERT Performance: Multi-teacher Adversarial Distillation with Clean and Robust Guidance.

[BibT_eX]

[DOI]

Proceedings of the Conceptual Modeling - 43rd International Conference, 2024

2023

IR<sup>2</sup>Net: information restriction and information recovery for accurate binary neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., July, 2023

Iterative clustering pruning for convolutional neural networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., April, 2023

CLIP Multi-modal Hashing: A new baseline CLIPMH.

[BibT_eX]

[DOI]

CoRR, 2023

Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Global balanced iterative pruning for efficient convolutional neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Self-distribution binary neural networks.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Automatic channel pruning via clustering and swarm intelligence optimization for CNN.

[BibT_eX]

[DOI]

Appl. Intell., 2022

2021

MPT-embedding: An unsupervised representation learning of code for software defect prediction.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2021

Compressing convolutional neural networks via intermediate features.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN.

[BibT_eX]

[DOI]

CoRR, 2021

2020

PathPair2Vec: An AST path pair-based code representation method for defect prediction.

[BibT_eX]

[DOI]

J. Comput. Lang., 2020

Coarse and fine-grained automatic cropping deep convolutional neural network.

[BibT_eX]

[DOI]

Jingfei Chang

CoRR, 2020

UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Convolutional Neural Networks-Based Locating Relevant Buggy Code Files for Bug Reports Affected by Data Imbalance.

[BibT_eX]

[DOI]

IEEE Access, 2019

Mapping Bug Reports to Relevant Source Code Files Based on the Vector Space Model and Word Embedding.

[BibT_eX]

[DOI]

IEEE Access, 2019

Jingfei Chang

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